Articles
Build better agents.Make better decisions.
Practical guides, original research and benchmarks to help you choose, build and improve AI agents for your business.
11–20 of 33 articles
What should a marketing AI agent do with customer interviews?
Use an interview agent to organise attributed themes and contrary evidence, then turn supported findings into positioning and campaign hypotheses. Keep respondent counts, segments and product proof visible so repeated remarks do not become unsupported market claims.
AI agents for supplier management: start with onboarding, obligations or renewals?
Choose supplier onboarding agents for incomplete setup, obligation agents for ongoing commitments, and renewal agents for upcoming commercial decisions. Start at the lifecycle stage with repeated manual checks, using approved records and a named owner for unresolved questions.
Top 7 AI agents for helping a buyer’s AI assistant choose your offer
Use offer-selection agents to clarify facts, assess fit, check requirements and compare compatible options. Start with the buyer’s explicit needs, preserving exclusions and total commitments before any agent progresses towards a quote or purchase decision.
Top 5 AI agents for turning customer feedback into action
Use feedback agents to separate shared themes from individual requests, detect guidance gaps, coordinate personal follow-ups and handle public mentions. Start where feedback currently stops, and track resolution rather than treating a routed message as completed customer work.
Top 5 AI agents for getting more useful work from your existing content
Use content agents to adapt approved material, correct outdated facts, connect related pages, build practical resources and localise relevant offers. Choose the reader need first, checking source accuracy before extending its claims into more formats or markets.
AI agents for customer onboarding: where should the sales handoff end and delivery begin?
Use a contract handoff agent to preserve agreed obligations, an onboarding agent to organise setup, and a milestone agent to verify progress. Transfer responsibility through acknowledged outputs, with dates and completion tied to actual evidence.
Top 6 AI agents for managing business exceptions across teams
Choose exception agents for the specific evidence gap blocking work: incomplete documents, invoice mismatches, fulfilment problems, inconsistent data, failed handoffs or incidents. Give every unresolved case an owner and keep recommendations separate from authorised corrective actions.
Top 5 AI agents for keeping recurring operational work on schedule
Use agents to coordinate recurring deadlines, capture actions, track obligations, gather audit evidence and prepare access reviews. Choose the work with an established owner and completion record, making missing inputs visible before the deadline rather than adding generic reminders.
Top 7 AI agents for turning a campaign idea into launch-ready assets
Use campaign agents to connect audience evidence, planning, writing, adaptation and final checks. Select the stage delaying approved assets, with clear handoffs between drafts and publishable work rather than assuming every generated output is ready to launch.
Top 5 AI agents for making customer review meetings more useful
Use review agents to assemble credible outcome evidence, renewal facts, stakeholder context, agreed goals and a focused agenda. Start with the decision the customer needs to make, keeping estimates and unresolved issues visible throughout the preparation.